Regression line on weight and result
With regression analysis we can check if there is a relationship between a dependent (also called outcome variable) and an independent variable. In this statistic, the relationship between the weight of a rider and the result (outcome) is investigated.
The formula for the regression line on the riders in the result is as follows:
The formula for the regression line on the riders in the result is as follows:
result = -1.4 * weight + 146
This means that on average for every extra kilogram weight a rider loses -1.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PARK Sung Baek | 73 |
| 8 | FUKUSHIMA Shinichi | 62 |
| 21 | BOILLAT Joris | 68 |
| 25 | SANO Junya | 76 |
| 41 | GEORGE David | 61 |
| 45 | ZONNEVELD Thijs | 63 |
| 49 | SOUTHAM Tom | 69 |
| 58 | ABE Yoshiyuki | 67 |
| 81 | KAZEMI Sarai Ahad | 71 |
| 85 | CRAWFORD Jai | 59 |
| 87 | MIZBANI Ghader | 67 |
| 88 | NISSEN Søren | 65 |
| 98 | XU Gang | 69 |